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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 7234
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    Explanations

    phrases related to confrontations or arguments

    oai_token-act-pair · gpt-3.5-turbo

    phrases that contain commas or are structured in a conversational and reflective manner

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rencies
    -0.71
    herent
    -0.67
    iple
    -0.65
    ¬¼
    -0.64
     tooltip
    -0.64
    atars
    -0.64
    §
    -0.63
    ety
    -0.63
    OME
    -0.62
    everal
    -0.58
    POSITIVE LOGITS
     albeit
    1.13
     namely
    1.07
     yeah
    0.98
     although
    0.98
     but
    0.96
     though
    0.89
     etc
    0.88
     haha
    0.88
     regardless
    0.88
     maybe
    0.88
    Activations Density 1.137%

    No Known Activations